Sven Schneider
Hochschule Bonn-Rhein-Sieg, The University of Sydney, Politecnico di Milano
Papers
19
Total Citations
135
H-Index
8
About
Sven Schneider is a robotics researcher whose work spans cognitive systems, knowledge representation, and intelligent robot software architectures. His research addresses some of the most pressing challenges in building adaptable, autonomous robotic systems — from how robots perceive and interpret their environments to how they can be reliably deployed in real-world industrial and domestic settings. Among his most recognized contributions is his work on declarative specification of robot perception architectures (15 citations) and graph-based software knowledge for run-time adaptation (12 citations), which together advance the vision of robots that reason about and reconfigure their own behavior. His involvement in the EU-funded RoCKIn project — spanning both home and workplace challenges — helped shape competitive robotics benchmarking across Europe, garnering over 19 combined citations and raising public awareness of state-of-the-art capabilities. Schneider has also contributed to hyperspectral sensing for autonomous mining systems, Quality-of-Service modeling for multi-robot fleets, and compliant manipulation via reinforcement learning. His breadth reflects a researcher equally comfortable with low-level sensor processing and high-level architectural design. Collectively, his portfolio demonstrates consistent, cross-domain impact in advancing robust, knowledge-driven autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Declarative Specification of Robot Perception Architectures15 citations · 2014
- 2The RoCKIn@Home challenge13 citations · 2014
- 3
- 4
- 5On the development of a hyperspectral library for autonomous mining systems12 citations · 2009
- 6
- 7
- 8
- 9Context-Based Adaptation of In-Hand Slip Detection for Service Robots7 citations · 2016
- 10The RoCKIn@Work challenge6 citations · 2014